gclaw-agent

Configure and run Gclaw agent DeFi trading with live-mode gating.

2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/terraleiloa/seren-skills --skill gclaw-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gclaw-agent
Source: https://github.com/terraleiloa/seren-skills/tree/main/gemachdao/gclaw-agent
Command: npx skills add https://github.com/terraleiloa/seren-skills --skill gclaw-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

It solves the problem of running an autonomous trading-and-task agent continuously by handling setup, configuration, and safe execution for DeFi survival mechanics.

Core Features & Use Cases

  • Installation & setup guidance: Install the Gclaw Go binary and initialize the agent workspace and configuration.
  • LLM provider and trading configuration templates: Generate a working config.json via onboarding with model_list entries for providers and settings for DeFi trading through GDEX.
  • Safety-guarded execution and emergency controls: Enforce live-mode gating (config + explicit --yes-live) and provide unwind behavior to cancel orders and liquidate inventory.

Use case: you want an always-on agent that can run in dry-run mode for testing, then switch to live trading only after explicit approval, while optionally using cron, channels, and a local dashboard.

Quick Start

Start by running the agent onboarding wizard so it creates your ~/.gclaw/config.json for your chosen LLM provider.

Frequently Asked Questions about gclaw-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up an autonomous DeFi trading agent for continuous operation?▼

To set up an autonomous DeFi trading agent, run the onboarding wizard to initialize the workspace, generate a config.json with your LLM provider settings, and validate required credentials before execution.

What safety mechanisms prevent an autonomous trading agent from executing unintended live transactions?▼

Autonomous trading agent safety relies on fail-closed behavior that enforces live-mode gating, requiring explicit opt-in via the execution.live_mode configuration setting and the --yes-live runtime flag to authorize transactions.

Can I test a DeFi trading strategy in dry-run mode before enabling live execution?▼

Yes, you can test DeFi trading strategies in dry-run mode for testing, allowing the agent to operate safely before explicitly switching to live trading only after granting manual approval.

How do I safely stop a long-running DeFi agent and liquidate its active positions?▼

To safely stop a long-running DeFi agent, use the emergency unwind behavior to cancel open orders and liquidate inventory, ensuring the autonomous trading workflow halts without leaving active positions.

Do I need specific LLM provider credentials to run an autonomous DeFi trading agent?▼

Yes, running an autonomous DeFi trading agent requires specific LLM provider credentials configured in the model_list entries within your config.json, which must be validated before trading execution begins.

Can I coordinate multiple autonomous trading agents in a swarm for decentralized finance operations?▼

Yes, you can coordinate multiple autonomous trading agent instances using optional swarm coordination, enabling multi-agent management alongside long-running gateway operation with cron and multi-channel communication.